The 2017 Michigan Student Symposium for Interdisciplinary Statistical Sciences

Thank you all for attending MSSISS 2017!

MSSISS 2017 extended and enhanced the success of previous symposia. In 2017, an inaugural Thursday night event showcased a junior faculty keynote (Assistant Professor Eric Schwartz), speed oral and poster combo presentations, and undergraduate posters. We were also honored to have Professor Dimitris Bertsimas, the Boeing Professor of Operations Research at MIT challenge traditional thinking in our field and proposed the use of advanced computing and optimization as practable (practically tractable) solutions to modern challenges.

MSSISS 2017 Presentation Awards:

Best Oral Presentation:

Selin Merdan & Christine Barnett (IOE) – Data Analytics for Optimal Staging Decisions for Newly-Diagnosed Prostate Cancer Patients

Oral Presentation Honorable Mention:

Morteza Noshad (EECS) – Direct Estimation of Information Divergence Using Nearest Neighbor Ratios

Best Speed Session:

Arya Fahari (EECS) – On the Search for Lead Pipes in Flint

ASA Prize for Best Poster Presentation:

Wesley Marrero (IOE) – Projections of Non-Alcoholic Steatohepatitis Related Liver Transplantation Waitlist Additions

Departmental Poster Presentation Winners:

  • Brian Segal (Biostatistics) – Tests of Matrix Structure for Construct Validation
  • David Hong (EECS) – Asymptotic Performance of PCA for High-Dimensional Heteroscedastic Data
  • Nicholas Seewald (Statistics) – Sample Size Considerations for the Analysis of Continuous Repeated-Measures Outcomes in Sequential Multiple-Assignment Randomized Trials
  • Iago Santos Muraro (Survey Methodology) – Optimal Timing for Incentive Changes in a Long-Standing Panel Survey with High Calling Volume

Best Undergraduate Poster Presentation:

Katherine Li (Statistics) – ReVibe: Recalling everyday moments with context


The Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) is an annual event organized by graduate students in the Biostatistics, Electrical Engineering & Computer Science, Industrial & Operations Engineering, Statistics and Survey Methodology departments at the University of Michigan.

The goal of this symposium is to create an environment that allows communication across related fields of statistical sciences and promotes interdisciplinary research among graduate students and faculty. It encourages graduate students to present their work, share insights and exposes them to diverse applications of statistical sciences. Though hosted by five departments we extend our invitation to graduate students from all departments across the University to present their statistical research in the form of an oral paper presentation or a poster presentation. It also provides an excellent environment for interacting with students and faculty from other areas of statistical research on campus.